Martina Pugliese

in the learning paradigms? that is supposed to contain supervised, unsupervised etc

An overview of what's deep learning and the libraries associated

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Use Migdal's post http://p.migdal.pl/2017/04/30/teaching-deep-learning.html, go deeper in explaining the libraries though

see wikipedia, it's a good page. Also a reference in this article about the Anscombe's quarter chat https://www.autodeskresearch.com/publications/samestats

a brief outline of collab vs content-based in aws paper "two decades of recommender systems at amazon"

Feature normalisation

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To do in regression. subtract mean, divide by std. Watch out for test set: don't want to use on its mean and std but those of the training set (stuff...

Check consistency

A bit on the statistical vs ML approaches

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Chollet, chapter 1 is a good references for this

Power law additions

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## Identify a PL graphically Pareto quantile-quantile plots (Q-Q plots), or log-log plots. ### Q-Q plot (fare voce separata) [from wikipedia] means plotting the quantiles of two distribs one against...